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Collection  12 March 2023

Journal Top 100 - 2022

This collection highlights our most downloaded* research papers published in 2022. Featuring authors from around the world, these papers highlight valuable research from an international community.

You can also check out the Top 100 across various subject areas here .

*Data obtained from SN Insights, which is based on Digital Science’s Dimensions.

image of abstract blue network

mRNA vaccine-induced antibodies more effective than natural immunity in neutralizing SARS-CoV-2 and its high affinity variants

  • Dominic Esposito

top research papers 2022

Cats learn the names of their friend cats in their daily lives

  • Saho Takagi
  • Atsuko Saito
  • Hika Kuroshima

top research papers 2022

Metformin administration is associated with enhanced response to transarterial chemoembolization for hepatocellular carcinoma in type 2 diabetes patients

  • Woo Jin Jung
  • Sangmi Jang
  • Jin-Wook Kim

top research papers 2022

The impact of digital media on children’s intelligence while controlling for genetic differences in cognition and socioeconomic background

  • Bruno Sauce
  • Magnus Liebherr
  • Torkel Klingberg

top research papers 2022

Life tables of annual life expectancy and mortality for companion dogs in the United Kingdom

  • Kendy Tzu-yun Teng
  • Dave C. Brodbelt
  • Dan G. O’Neill

top research papers 2022

Bioarchaeological and palaeogenomic portrait of two Pompeians that died during the eruption of Vesuvius in 79 AD

  • Gabriele Scorrano
  • Serena Viva
  • Fabio Macciardi

top research papers 2022

Reading on a smartphone affects sigh generation, brain activity, and comprehension

  • Motoyasu Honma
  • Yuri Masaoka
  • Masahiko Izumizaki

top research papers 2022

Principal Component Analyses (PCA)-based findings in population genetic studies are highly biased and must be reevaluated

  • Eran Elhaik

top research papers 2022

The determinants of COVID-19 morbidity and mortality across countries

  • Dianna Chang
  • Kelvin Jui Keng Tan

top research papers 2022

Birdsongs alleviate anxiety and paranoia in healthy participants

  • J. Sundermann

top research papers 2022

Identification of ADS024, a newly characterized strain of Bacillus velezensis with direct Clostridiodes difficile killing and toxin degradation bio-activities

  • Michelle M. O’Donnell
  • James W. Hegarty
  • Laurent Chesnel

top research papers 2022

Multiple sclerosis genetic and non-genetic factors interact through the transient transcriptome

  • Renato Umeton
  • Gianmarco Bellucci
  • Giovanni Ristori

top research papers 2022

The effect of metformin on the survival of colorectal cancer patients with type 2 diabetes mellitus

  • Zeinab Tarhini
  • Kamelia Manceur
  • Niki Christou

top research papers 2022

Chemical characterisation of the vapour emitted by an e-cigarette using a ceramic wick-based technology

  • M. Isabel Pinto

top research papers 2022

Large-magnitude (VEI ≥ 7) ‘wet’ explosive silicic eruption preserved a Lower Miocene habitat at the Ipolytarnóc Fossil Site, North Hungary

  • Dávid Karátson
  • Imre Szarvas

top research papers 2022

Far-UVC (222 nm) efficiently inactivates an airborne pathogen in a room-sized chamber

  • Waseem Hiwar
  • Kenneth Wood

top research papers 2022

Low dose aspirin associated with greater bone mineral density in older adults

  • Hongzhan Liu
  • Xungang Xiao

top research papers 2022

First direct evidence of adult European eels migrating to their breeding place in the Sargasso Sea

  • Rosalind M. Wright
  • Adam T. Piper
  • David Righton

top research papers 2022

Infections with the SARS-CoV-2 Delta variant exhibit fourfold increased viral loads in the upper airways compared to Alpha or non-variants of concern

  • Christian J. H. von Wintersdorff
  • Jozef Dingemans
  • Paul H. M. Savelkoul

top research papers 2022

Inappropriate sinus tachycardia in post-COVID-19 syndrome

  • Júlia Aranyó
  • Victor Bazan
  • Roger Villuendas

top research papers 2022

The microstructure and the origin of the Venus from Willendorf

  • Gerhard W. Weber
  • Alexander Lukeneder

top research papers 2022

COVID-19 reinfections among naturally infected and vaccinated individuals

  • Sezanur Rahman
  • M. Mahfuzur Rahman
  • Mustafizur Rahman

top research papers 2022

Lockdown measures during the COVID-19 pandemic strongly impacted the circulation of respiratory pathogens in Southern China

  • Heping Wang
  • Yuejie Zheng
  • Wenjian Wang

top research papers 2022

Alzheimer’s disease large-scale gene expression portrait identifies exercise as the top theoretical treatment

  • Mason A. Hill
  • Stephen C. Gammie

top research papers 2022

COVID-19 symptoms are reduced by targeted hydration of the nose, larynx and trachea

  • Carolin Elizabeth George
  • Gerhard Scheuch
  • David A. Edwards

top research papers 2022

SARS-CoV-2 spike protein induces cognitive deficit and anxiety-like behavior in mouse via non-cell autonomous hippocampal neuronal death

  • Junyoung Oh
  • Woo-Hyun Cho
  • Sung Joong Lee

top research papers 2022

Abdominal pain patterns during COVID-19: an observational study

  • Alexandre Balaphas
  • Kyriaki Gkoufa
  • Christian Toso

top research papers 2022

Detection of human pathogenic bacteria in rectal DNA samples from Zalophus californianus in the Gulf of California, Mexico

  • Francesco Cicala
  • David Ramírez-Delgado
  • Alexei F. Licea-Navarro

top research papers 2022

Industrialised fishing nations largely contribute to floating plastic pollution in the North Pacific subtropical gyre

  • Laurent Lebreton
  • Sarah-Jeanne Royer
  • Matthias Egger

top research papers 2022

Hypertension and diabetes including their earlier stage are associated with increased risk of sudden cardiac arrest

  • Seung Young Roh
  • Young-Hoon Kim

top research papers 2022

Utility of an artificial intelligence system for classification of esophageal lesions when simulating its clinical use

  • Ayaka Tajiri
  • Ryu Ishihara
  • Tomohiro Tada

top research papers 2022

Prevalence, age of decision, and interpersonal warmth judgements of childfree adults

  • Zachary P. Neal
  • Jennifer Watling Neal

top research papers 2022

Acute and protracted abstinence from methamphetamine bidirectionally changes intrinsic excitability of indirect pathway spiny projection neurons in the dorsomedial striatum

  • Sanghoon Choi
  • Steven M. Graves

top research papers 2022

Indeterminacy of cannabis impairment and ∆ 9 -tetrahydrocannabinol (∆ 9 -THC) levels in blood and breath

  • Gregory T. Wurz
  • Michael W. DeGregorio

top research papers 2022

High rates of plasmid cotransformation in E. coli overturn the clonality myth and reveal colony development

  • Delia Tomoiaga
  • Jaclyn Bubnell
  • Paul Feinstein

top research papers 2022

Metformin sensitizes leukemic cells to cytotoxic lymphocytes by increasing expression of intercellular adhesion molecule-1 (ICAM-1)

  • Nerea Allende-Vega
  • Joaquin Marco Brualla
  • Martin Villalba

top research papers 2022

Incorporation of machine learning and deep neural network approaches into a remote sensing-integrated crop model for the simulation of rice growth

  • Seungtaek Jeong
  • Jong-min Yeom

top research papers 2022

Perceiving societal pressure to be happy is linked to poor well-being, especially in happy nations

  • Egon Dejonckheere
  • Joshua J. Rhee
  • Brock Bastian

top research papers 2022

The earliest Pleistocene record of a large-bodied hominin from the Levant supports two out-of-Africa dispersal events

  • Alon Barash
  • Miriam Belmaker

top research papers 2022

Generation mechanism and prediction of an observed extreme rogue wave

  • Johannes Gemmrich

top research papers 2022

Fitness tracking reveals task-specific associations between memory, mental health, and physical activity

  • Jeremy R. Manning
  • Gina M. Notaro
  • Paxton C. Fitzpatrick

Domestic dogs ( Canis familiaris ) grieve over the loss of a conspecific

  • Stefania Uccheddu
  • Lucia Ronconi
  • Federica Pirrone

top research papers 2022

Human transgenerational observations of regular smoking before puberty on fat mass in grandchildren and great-grandchildren

  • Jean Golding
  • Steve Gregory
  • Matthew Suderman

top research papers 2022

Chlamydia pneumoniae can infect the central nervous system via the olfactory and trigeminal nerves and contributes to Alzheimer’s disease risk

  • Jenny A. K. Ekberg

top research papers 2022

Oxycodone/naloxone versus tapentadol in real-world chronic non-cancer pain management: an observational and pharmacogenetic study

  • Jordi Barrachina
  • Cesar Margarit
  • Ana M. Peiró

Cooking methods are associated with inflammatory factors, renal function, and other hormones and nutritional biomarkers in older adults

  • Montserrat Rodríguez-Ayala
  • José Ramón Banegas
  • Pilar Guallar-Castillón

top research papers 2022

Classification of pig calls produced from birth to slaughter according to their emotional valence and context of production

  • Elodie F. Briefer
  • Ciara C. -R. Sypherd
  • Céline Tallet

top research papers 2022

Higher emotional awareness is associated with greater domain-general reflective tendencies

  • Michelle Persich
  • William D. S. Killgore

top research papers 2022

A large Megaraptoridae (Theropoda: Coelurosauria) from Upper Cretaceous (Maastrichtian) of Patagonia, Argentina

  • Alexis M. Aranciaga Rolando
  • Matias J. Motta
  • Fernando E. Novas

top research papers 2022

Long COVID occurrence in COVID-19 survivors

  • Aya Sugiyama
  • Junko Tanaka

top research papers 2022

Water activated disposable paper battery

  • Alexandre Poulin
  • Xavier Aeby
  • Gustav Nyström

top research papers 2022

Intestinal preservation in a birdlike dinosaur supports conservatism in digestive canal evolution among theropods

  • Yichuan Liu

top research papers 2022

Antiviral effect of cetylpyridinium chloride in mouthwash on SARS-CoV-2

  • Hirofumi Sawa

top research papers 2022

Evidence of an oceanic impact and megatsunami sedimentation in Chryse Planitia, Mars

  • J. Alexis P. Rodriguez
  • Darrel K. Robertson
  • Mario Zarroca

top research papers 2022

Curcumin and metformin synergistically modulate peripheral and central immune mechanisms of pain

  • Peththa Wadu Dasuni Wasana
  • Pasarapa Towiwat

top research papers 2022

The first occurrence of an avian-style respiratory infection in a non-avian dinosaur

  • D. Cary Woodruff
  • Ewan D. S. Wolff
  • Lawrence M. Witmer

top research papers 2022

Optimal linear estimation models predict 1400–2900 years of overlap between Homo sapiens and Neandertals prior to their disappearance from France and northern Spain

  • Igor Djakovic
  • Alastair Key
  • Marie Soressi

top research papers 2022

The influence of time on the sensitivity of SARS-CoV-2 serological testing

  • Arturo Torres Ortiz
  • Fernanda Fenn Torrente
  • Louis Grandjean

top research papers 2022

Online misinformation is linked to early COVID-19 vaccination hesitancy and refusal

  • Francesco Pierri
  • Brea L. Perry
  • John Bryden

top research papers 2022

A distinct symptom pattern emerges for COVID-19 long-haul: a nationwide study

  • Melissa D. Pinto
  • Charles A. Downs
  • Natalie Lambert

top research papers 2022

SARS-CoV-2-reactive IFN-γ-producing CD4 + and CD8 + T cells in blood do not correlate with clinical severity in unvaccinated critically ill COVID-19 patients

  • Beatriz Olea
  • Eliseo Albert
  • David Navarro

top research papers 2022

Classification of 74 facial emoji’s emotional states on the valence-arousal axes

  • Gaku Kutsuzawa
  • Hiroyuki Umemura
  • Yoshiyuki Kobayashi

top research papers 2022

The emergence of a new sex-system (XX/XY 1 Y 2 ) suggests a species complex in the “monotypic” rodent Oecomys auyantepui (Rodentia, Sigmodontinae)

  • Willam Oliveira da Silva
  • Celina Coelho Rosa
  • Cleusa Yoshiko Nagamachi

top research papers 2022

Detection of COVID-19 using multimodal data from a wearable device: results from the first TemPredict Study

  • Ashley E. Mason
  • Frederick M. Hecht
  • Benjamin L. Smarr

top research papers 2022

Spinal degeneration is associated with lumbar multifidus morphology in secondary care patients with low back or leg pain

  • Jeffrey R. Cooley
  • Tue S. Jensen
  • Jeffrey J. Hebert

top research papers 2022

Phenomenology and content of the inhaled N , N -dimethyltryptamine ( N , N -DMT) experience

  • David Wyndham Lawrence
  • Robin Carhart-Harris
  • Christopher Timmermann

top research papers 2022

A gigantic bizarre marine turtle (Testudines: Chelonioidea) from the Middle Campanian (Late Cretaceous) of South-western Europe

  • Oscar Castillo-Visa
  • Àngel H. Luján
  • Albert Sellés

top research papers 2022

The first experience with fully endoscopic posterior cervical foraminotomy and discectomy for radiculopathy performed in Viet Duc University Hospital

  • Son Ngoc Dinh
  • Hung The Dinh

top research papers 2022

Mapping the “catscape” formed by a population of pet cats with outdoor access

  • Richard Bischof
  • Nina Rosita Hansen
  • Torbjørn Haugaasen

top research papers 2022

Investigation of humans individual differences as predictors of their animal interaction styles, focused on the domestic cat

  • Lauren R. Finka
  • Lucia Ripari
  • Marnie L. Brennan

top research papers 2022

Genesis of fecal floatation is causally linked to gut microbial colonization in mice

  • Syed Mohammed Musheer Aalam
  • Daphne Norma Crasta
  • Nagarajan Kannan

top research papers 2022

Young children’s screen time during the first COVID-19 lockdown in 12 countries

  • Christina Bergmann
  • Nevena Dimitrova
  • Nivedita Mani

top research papers 2022

Cichlids and stingrays can add and subtract ‘one’ in the number space from one to five

  • V. Schluessel

top research papers 2022

Elevated estradiol levels in frozen embryo transfer have different effects on pregnancy outcomes depending on the stage of transferred embryos

  • Liming Ruan

top research papers 2022

Group VR experiences can produce ego attenuation and connectedness comparable to psychedelics

  • David R. Glowacki
  • Rhoslyn Roebuck Williams
  • Mike Chatziapostolou

top research papers 2022

New therizinosaurid dinosaur from the marine Osoushinai Formation (Upper Cretaceous, Japan) provides insight for function and evolution of therizinosaur claws

  • Yoshitsugu Kobayashi
  • Ryuji Takasaki
  • Yoshinori Hikida

top research papers 2022

Smartphone-based ecological momentary assessment reveals mental health benefits of birdlife

  • Ryan Hammoud
  • Stefania Tognin
  • Andrea Mechelli

top research papers 2022

Long-term outcomes of cataract surgery with toric intraocular lens implantation by the type of preoperative astigmatism

  • Tetsuro Oshika
  • Shinichiro Nakano
  • Tsutomu Kaneko

top research papers 2022

Forest fire detection system using wireless sensor networks and machine learning

  • Udaya Dampage
  • Lumini Bandaranayake
  • Bathiya Jayasanka

top research papers 2022

Misinformation of COVID-19 vaccines and vaccine hesitancy

  • Sun Kyong Lee
  • Juhyung Sun
  • Shane Connelly

top research papers 2022

Deep language algorithms predict semantic comprehension from brain activity

  • Charlotte Caucheteux
  • Alexandre Gramfort
  • Jean-Rémi King

top research papers 2022

Children with autism spectrum disorder show atypical electroencephalographic response to processing contextual incongruencies

  • Amparo V. Márquez-García
  • Vasily A. Vakorin
  • Sam M. Doesburg

top research papers 2022

A generalizable one health framework for the control of zoonotic diseases

  • Ria R. Ghai
  • Ryan M. Wallace
  • Casey Barton Behravesh

top research papers 2022

HS3ST2 expression induces the cell autonomous aggregation of tau

  • M. B. Huynh
  • N. Rebergue
  • D. Papy-Garcia

top research papers 2022

Exceptional warming over the Barents area

  • Ketil Isaksen
  • Øyvind Nordli
  • Tatiana Karandasheva

top research papers 2022

A new Early Cretaceous lizard in Myanmar amber with exceptionally preserved integument

  • Andrej Čerňanský
  • Edward L. Stanley
  • Susan E. Evans

top research papers 2022

Coffee consumption and diabetic retinopathy in adults with diabetes mellitus

  • Hak Jun Lee
  • Daniel Duck-Jin Hwang

top research papers 2022

Shifts in the foraging tactics of crocodiles following invasion by toxic prey

  • Abhilasha Aiyer
  • Richard Shine
  • Georgia Ward-Fear

top research papers 2022

Production of high loading insulin nanoparticles suitable for oral delivery by spray drying and freeze drying techniques

  • Alberto Baldelli
  • Anubhav Pratap-Singh

top research papers 2022

Cable news and COVID-19 vaccine uptake

  • Matteo Pinna
  • Christoph Goessmann

top research papers 2022

Estimating the time of last drinking from blood ethyl glucuronide and ethyl sulphate concentrations

  • Zhongyuan Guo

top research papers 2022

COVID-19 infections in infants

  • Małgorzata Sobolewska-Pilarczyk
  • Maria Pokorska-Śpiewak
  • Małgorzata Pawłowska

top research papers 2022

COVID-19 increases the risk for the onset of atrial fibrillation in hospitalized patients

  • Jakob Wollborn
  • Sergey Karamnov
  • Jochen D. Muehlschlegel

top research papers 2022

Childhood temperament and adulthood personality differentially predict life outcomes

  • Amanda J. Wright
  • Joshua J. Jackson

top research papers 2022

Antivirus applied to JAR malware detection based on runtime behaviors

  • Ricardo P. Pinheiro
  • Sidney M. L. Lima
  • Wellington P. dos Santos

top research papers 2022

Therapeutic enzyme engineering using a generative neural network

  • Andrew Giessel
  • Athanasios Dousis
  • Stuart Licht

top research papers 2022

Identification of genes associated with human-canine communication in canine evolution

  • Akiko Tonoike
  • Ken-ichi Otaki
  • Miho Nagasawa

top research papers 2022

Breath chemical markers of sexual arousal in humans

  • G. Pugliese
  • J. Williams

top research papers 2022

A 5-km-thick reservoir with > 380,000 km 3 of magma within the ancient Earth's crust

  • Rais Latypov
  • Sofya Chistyakova
  • Mauritz van der Merwe

top research papers 2022

Return of large fin whale feeding aggregations to historical whaling grounds in the Southern Ocean

  • Helena Herr
  • Sacha Viquerat
  • Bettina Meyer

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Celebrating the most popular papers from 2022

As we count down to 2023, we’re celebrating the top 10 most popular articles of the year according to Altmetric.

22 December 2022

‘This year our journal papers were downloaded over 40 million times!’

Ciara Doyle

Marketing Executive, Publishing

10. Do monkeys get drunk? 

This paper from Royal Society Open Science shows that spider monkeys regularly consume fermenting fruit, backing up the hypothesis that as humans we inherited a taste for alcohol from our primate ancestors. The research is the first to demonstrate that wild primates enjoy alcohol as a part of their natural diet, in the form of fermenting mango-like fruits. 

Spider monkey

9. Facemasks can reduce severity of COVID-19

This research from Interface developed a model to investigate COVID-19 ‘variolation’ - an incidental, but potentially beneficial, form of immunization achieved by inhaling smaller doses of the virus than would be inhaled without a mask. The model suggests effective masking could drastically slow the spread of COVID-19 and reduce the prevalence of severe cases.

COVID face mask

8. Could melting glaciers cause future pandemics?

These findings from Proceedings B suggest that as global temperatures rise due to climate change, it becomes more likely that viruses and bacteria locked up in glaciers could reawaken and infect local wildlife. The research investigated how climate change might affect spillover risk by examining samples from the Arctic landscape of Lake Hazen.

Glacier melting

7. Does time spent playing video games impact well-being?

Major health bodies and national governments have made extensive policy decisions to address their potential risks, but current evidence tells us little about the links between video gaming and well-being. Research  in Royal Society Open Science addresses this lack of supporting data by studying a large sample of players to try to determine the impact of video gaming on players’ well-being.

A person video-gaming

6. Tree rings offer insight into destructive radiation storms

This Proceedings A paper has applied cutting-edge statistics to data from millennia-old trees to find out more about radiation ‘storms’. Researchers reconstructed the global carbon cycle using tree ring radiocarbon data - the results of this modeling gave researchers an extremely detailed picture of a number of radiation events. The research suggests that, based on available data, there's roughly a one percent chance of another radiation storm occurring within the next decade.

Tree rings

5. Kent was home to some of Britain’s earliest humans

This paper in Royal Society Open Science presents details of the first modern excavation and dating of artefacts discovered at Fordwich. These discoveries offer insight into the presence and behaviour of early humans in southern Britain and highlight the importance of Fordwich as an archaeological site.

Prehistoric scene

4. What does successful reforestation look like?

While the main measurement used for many reforestation projects is the number of trees initially planted, this research from Philosophical Transactions B shows that many of these trees are not surviving long-term. This research is the first to bring together data to evaluate the long-term outcomes of restoration projects.

Forest

3. Ankylosaurs used their tail clubs to battle each other

This paper from Biology Letters has found new evidence for how armoured dinosaurs used their iconic tail clubs. The remarkable fossil has spikes that appear to have been broken and re-healed whilst the dinosaur was still alive. These injuries are thought to have been caused by a strike from another ankylosaur’s massive tail club, suggesting that these dinosaurs had complex behaviour, possibly battling for social and territorial dominance.

Dinosaur

2. Discovery of world’s largest plant

This research from Proceedings B tested the DNA from meadows of ribbon weed seagrass in the shallow waters of the Shark Bay World Heritage Area in Western Australia. The results were extraordinary: it was all one plant. One single plant has expanded over a stretch of 180 km making it the largest known plant on Earth.

Seagrass plant

1. Can mushrooms communicate with one another?

Finally, the most popular paper of 2022 comes from Royal Society Open Science . Mathematical analysis of electrical signals fungi send to one another has identified patterns that hold a striking structural similarity to human speech. The research shows that these electrical signals often occurred in clusters which resemble a human vocabulary of up to 50 words.

Mushrooms

This year our journal papers were downloaded over 40 million times! Thank you to everyone who chose to read our papers and publish in our journals this year - we look forward to publishing more insightful research in 2023.

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Must read: the 100 most cited AI papers in 2022

Updated: Mar 8

Who Is publishing the most Impactful AI research right now? With the breakneck pace of innovation in AI, it is crucial to pick up some signal as soon as possible. No one has the time to read everything, but these 100 papers are sure to bend the road as to where our AI technology is going. The real test of impact of R&D teams is of course how the technology appears in products, and OpenAI shook the world by releasing ChatGPT at the end of November 2022, following fast on their March 2022 paper “Training language models to follow instructions with human feedback”. Such fast product adoption is rare, so to see a bit further, we look at a classic academic metric: the number of citations. A detailed analysis of the 100 most cited papers per year, for 2022, 2021, and 2020 allows us to draw some early conclusions. The United States and Google still dominate, and DeepMind has had a stellar year of success, but given its volume of output, OpenAI is really in a league of its own both in product impact, and in research that becomes quickly and broadly cited. The full top-100 list for 2022 is included below in this post.

top research papers 2022

Using data from the Zeta Alpha platform combined with careful human curation (more about methodology below), we've gathered the top cited papers in AI from 2022, 2021, and 2020, and analyzed authors' affiliations, and country. This allows us to rank these by R&D impact rather than pure publication volume.

What are some of these top papers we're talking about?

But before we dive into the numbers, let's get a sense of what papers we're talking about: the blockbusters from these past 3 years. You'll probably recognize a few of them!

1️⃣ AlphaFold Protein Structure Database: massively expanding the structural coverage of protein-sequence space with high-accuracy models -> (From DeepMind, 1372 citations) Using AlphaFold to augment protein structure database coverage.

2️⃣ ColabFold: making protein folding accessible to all -> (From multiple institutions, 1162 citations) An open-source and efficient protein folding model.

3️⃣ Hierarchical Text-Conditional Image Generation with CLIP Latents -> (From OpenAI, 718 citations) DALL·E 2, complex prompted image generation that left most in awe.

4️⃣ A ConvNet for the 2020s -> (From Meta and UC Berkeley, 690 citations) A successful modernization of CNNs at a time of boom for Transformers in Computer Vision.

5️⃣ PaLM: Scaling Language Modeling with Pathways -> (From Google, 452 citations) Google's mammoth 540B Large Language Model, a new MLOps infrastructure, and how it performs.

1️⃣ Highly accurate protein structure prediction with AlphaFold -> (From DeepMind, 8965) AlphaFold, a breakthrough in protein structure prediction using Deep Learning. See also " Accurate prediction of protein structures and interactions using a three-track neural network " (from multiple academic institutions, 1659 citations), an open-source protein structure prediction algorithm.

2️⃣ Swin Transformer: Hierarchical Vision Transformer using Shifted Windows -> (From Microsoft, 4810 citations) A robust variant of Transformers for Vision.

3️⃣ Learning Transferable Visual Models From Natural Language Supervision -> (From OpenAI, 3204 citations) CLIP, image-text pairs at scale to learn joint image-text representations in a self-supervised fashion

4️⃣ On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? -> (From U. Washington, Black in AI, The Aether, 1266 citations) Famous position paper is very critical of the trend of ever-growing language models, highlighting their limitations and dangers.

5️⃣ Emerging Properties in Self-Supervised Vision Transformers -> (From Meta, 1219 citations) DINO, showing how self-supervision on images led to the emergence of some sort of proto-object segmentation in Transformers.

1️⃣ An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale -> (From Google, 11914 citations) The first work showing how a plain Transformer could do great in Computer Vision.

2️⃣ Language Models are Few-Shot Learners -> (From OpenAI, 8070 citations) GPT-3, This paper does not need further explanation at this stage.

3️⃣ YOLOv4: Optimal Speed and Accuracy of Object Detection -> (From Academia Sinica, Taiwan, 8014 citations) Robust and fast object detection sells like hotcakes.

4️⃣ Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer -> (From Google, 5906 citations) A rigorous study of transfer learning with Transformers, resulting in the famous T5.

5️⃣ Bootstrap your own latent: A new approach to self-supervised Learning -> (From DeepMind and Imperial College, 2873 citations) Showing that negatives are not even necessary for representation learning.

Read on below to see the full list of 100 papers for 2022, but let's first dive into the analyses for countries and institutions.

The most cited papers from the past 3 years

When we look at where these top-cited papers come from (Figure 1), we see that the United States continues to dominate and the difference among the major powers varies only slightly per year. Earlier reports that China may have overtaken the US in AI R&D seem to be highly exaggerated if we look at it from the perspective of citations. We also see an impact significantly above expectation from Singapore and Australia.

To properly assess the US dominance, let's look beyond paper count numbers. If we consider the accumulated citations by country instead, the difference looks even stronger. We have normalized by the total number of citations in a year, in order to be able to compare meaningfully across years.

top research papers 2022

Figure 2. Source: Zeta Alpha

The UK is clearly the strongest player outside of the US and China. However, the contribution of the UK is even more strongly dominated by DeepMind in 2022 (69% of the UK total), than in the previous years (60%). DeepMind has truly had a very productive 2022. Looking at the regions, North America is leading by a large margin while Asia is slightly above Europe.

top research papers 2022

Figure 3. Source: Zeta Alpha

Now let's look at how the leading organizations compare by number of papers in the top 100.

top research papers 2022

Figure 4. Source: Zeta Alpha

Google is consistently the strongest player followed by Meta, Microsoft, UC Berkeley, DeepMind and Stanford. While industry calls the shots in AI research these days, and single academic institutions don't produce as much impact, the tail for these institutions is much longer, so that when we aggregate by organization type, it evens out.

top research papers 2022

Figure 5. Source: Zeta Alpha

If we look into total research output, how many papers have organizations published in these past 3 years?

top research papers 2022

Figure 6. Source: Zeta Alpha

In total publication volume, Google is still in the lead, but differences are much less drastic compared to the citation top 100. You won't see OpenAI or DeepMind among the top 20 in the volume of publications. These institutions publish less but with higher impact. The following chart shows the rate at which organizations manage to convert their publications into top-100 papers.

top research papers 2022

Now we see that OpenAI is simply in a league of its own when it comes to turning publications into absolute blockbusters. While certainly, their marketing magic helps a lot to propel their popularity, it's undeniable that some of their recent research is of outstanding quality. With a lower paper volume but impressive conversion rate is also EleutherAI, the non-profit collective focusing on interpretability and alignment of large Language Models.

The top 100 most cited papers for 2022

And finally, here is our top-100 list itself, with titles, citation counts, and affiliations.

We have also added twitter mentions, which are sometimes seen as an early impact indicator, however the correlation so far seems to be weak. Further work is needed. Here you have the list for the year 2020 and for 2021 (as tsv files).

Methodology

To create the analysis above, we have first collected the most cited papers per year in the Zeta Alpha platform , and then manually checked the first publication date (usually an arXiv pre-print), so that we place papers in the right year. We supplemented this list by mining for highly cited AI papers on Semantic Scholar with its broader coverage and ability to sort by citation count. This mainly turns up additional papers from highly impactful closed-source publishers (e.g. Nature, Elsevier, Springer and other journals). We then take for each paper the number of citations on Google Scholar as the representative metric and sort the papers by this number to yield the top-100 for a year. For these papers we used GPT-3 to extract the authors, their affiliations, and their country and manually checked these results (if the country was not clearly visible from the publication, we take the country of the organization’s headquarters). A paper with authors from multiple affiliations counts once for each of the affiliations.

Updates 2023/03/07

- Update the 2022 list with the following papers:

- Emergent Abilities of Large Language Models (74 citations)

- Self-consistency improves chain of thought reasoning in language models (71 citations)

- Why do tree-based models still outperform deep learning on tabular data? (60 citations)

- DeiT III: Revenge of the ViT (44 citations)

- Fix missing EleutherAI as the 2nd best organization in terms of conversion rate

- Added links to the full 2020 top-cited paper list and 2021 top-cited paper lists

- Add counts by region plot

- Fix missing countries and organizations in the 2022 list

This concludes our analysis; what surprised you the most about these numbers? Try out our platform , follow us on Twitter @zetavector and let us know if you have any feedback or would like to receive a more detailed analysis for your domain or organization.

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The Top 17 ‘Must-Read’ AI Papers in 2022

The Top 17 ‘Must-Read’ AI Papers in 2022

We caught up with experts in the RE•WORK community to find out what the top 17 AI papers are for 2022 so far that you can add to your Summer must reads. The papers cover a wide range of topics including AI in social media and how AI can benefit humanity and are free to access.

Interested in learning more? Check out all the upcoming RE•WORK events to find out about the latest trends and industry updates in AI here .

Max Li, Staff Data Scientist – Tech Lead at Wish

Max is a Staff Data Scientist at Wish where he focuses on experimentation (A/B testing) and machine learning.  His passion is to empower data-driven decision-making through the rigorous use of data. View Max’s presentation, ‘Assign Experiment Variants at Scale in A/B Tests’, from our Deep Learning Summit in February 2022 here .

1. Boostrapped Meta-Learning (2022) – Sebastian Flennerhag et al.

The first paper selected by Max proposes an algorithm in which allows the meta-learner teach itself, allowing to overcome the meta-optimisation challenge. The algorithm focuses meta-learning with gradients, which guarantees improvements in performance. The paper also looks at how bootstrapping opens up possibilities. Read the full paper here .

2. Multi-Objective Bayesian Optimization over High-Dimensional Search Spaces (2022) – Samuel Daulton et al.

Another paper selected by Max proposes MORBO, a scalable method for multiple-objective BO as it performs better than that of high-dimensional search spaces. MORBO significantly improves the sample efficiency, and where BO algorithms fail, MORBO provides improved sample efficiencies to the current BO approach used. Read the full paper here .

3. Tabular Data: Deep Learning is Not All You Need (2021) – Ravid Shwartz-Ziv, Amitai Armon

To solve real-life data science problems, selecting the right model to use is crucial. This final paper selected by Max explores whether deep models should be recommended as an option for tabular data. Read the full paper here .

top research papers 2022

Jigyasa Grover, Senior Machine Learning Engineer at Twitter

Jigyasa Grover is a Senior Machine Learning Engineer at Twitter working in the performance ads ranking domain. Recently, she was honoured with the 'Outstanding in AI: Young Role Model Award' by Women in AI across North America. She is one of the few ML Google Developer Experts globally. Jigyasa has previously presented at our Deep Learning Summit and MLOps event in San Fransisco earlier this year.

4. Privacy for Free: How does Dataset Condensation Help Privacy? (2022) – Tian Dong et al.

Jigyasa’s first recommendation concentrates on Privacy Preserving Machine Learning, specifically mitigating the leakage of sensitive data in Machine Learning. The paper provides one of the first propositions of using dataset condensation techniques to preserve the data efficiency during model training and furnish membership privacy. This paper was published by Sony AI and won the Outstanding Paper Award at ICML 2022. Read the full paper here .

5. Affective Signals in a Social Media Recommender System (2022) – Jane Dwivedi-Yu et al.

The second paper recommended by Jigyasa talks about operationalising Affective Computing, also known as Emotional AI, for an improved personalised feed on social media. The paper discusses the design of an affective taxonomy customised to user needs on social media. It further lays out the curation of suitable training data by combining engagement data and data from a human-labelling task to enable the identification of the affective response a user might exhibit for a particular post. Read the full paper here .

6. ItemSage: Learning Product Embeddings for Shopping Recommendations at Pinterest (2022) – Paul Baltescu et al.

Jigyasa’s last recommendation is a paper by Pinterest that illustrates the aggregation of both textual and visual information to build a unified set of product embeddings to enhance recommendation results on e-commerce websites. By applying multi-task learning, the proposed embeddings can optimise for multiple engagement types and ensures that the shopping recommendation stack is efficient with respect to all objectives. Read the full article here .

Asmita Poddar, Software Development Engineer at Amazon Alexa

Asmita is a Software Development Engineer at Amazon Alexa, where she works on developing and productionising natural language processing and speech models. Asmita also has prior experience in applying machine learning in diverse domains. Asmita will be presenting at our London AI Summit , in September, where she will discuss AI for Spoken Communication.

7. Competition-Level Code Generation with AlphaCode (2022) – Yujia Li et al.

Systems can help programmers become more productive. Asmita has selected this paper which addresses the problems with incorporating innovations in AI into these systems. AlphaCode is a system that creates solutions for problems that requires deeper reasoning. Read the full paper here .

8. A Commonsense Knowledge Enhanced Network with Retrospective Loss for Emotion Recognition in Spoken Dialog (2022) – Yunhe Xie et al.

There are limits to model’s reasoning in regards to the existing ERSD datasets. The final paper selected by Asmita proposes a Commonsense Knowledge Enhanced Network with a backward-looking loss to perform dialog modelling, external knowledge integration and historical state retrospect. The model used has been shown to outperform other models. Read the full paper here .

top research papers 2022

Discover the speakers we have lined up and the topics we will cover at the London AI Summit.

Sergei Bobrovskyi, Expert in Anomaly Detection for Root Cause Analysis at Airbus

Dr. Sergei Bobrovskyi is a Data Scientist within the Analytics Accelerator team of the Airbus Digital Transformation Office. His work focuses on applications of AI for anomaly detection in time series, spanning various use-cases across Airbus. Sergei will be presenting at our Berlin AI Summit in October about Anomaly Detection, Root Cause Analysis and Explainability.

9. LaMDA: Language Models for Dialog Applications (2022) – Romal Thoppilan et al.

The paper chosen by Sergei describes the LaMDA system, which caused the furor this summer, when a former Google engineer claimed it has shown signs of being sentient. LaMDA is a family of large language models for dialog applications based on Transformer architecture. The interesting feature of the model is their fine-tuning with human annotated data and possibility to consult external sources. In any case, this is a very interesting model family, which we might encounter in many of the applications we use daily. Read the full paper here .

10. A Path Towards Autonomous Machine Intelligence Version 0.9.2, 2022-06-27 (2022) – Yann LeCun

The second paper chosen by Sergei provides a vision on how to progress towards general AI. The study combines a number of concepts including configurable predictive world model, behaviour driven through intrinsic motivation, and hierarchical joint embedding architectures. Read the full paper here .

11. Coordination Among Neural Modules Through a Shared Global Workpace (2022) – Anirudh Goyal et al.

This paper chosen by Sergei combines the Transformer architecture underlying most of the recent successes of deep learning with ideas from the Global Workspace Theory from cognitive sciences. This is an interesting read to broaden the understanding of why certain model architectures perform well and in which direction we might go in the future to further improve performance on challenging tasks. Read the full paper here .

12. Magnetic control of tokamak plasmas through deep reinforcement learning (2022) – Jonas Degrave et al.

Sergei chose the next paper, which asks the question of ‘how can AI research benefit humanity?’. The use of AI to enable safe, reliable and scalable deployment of fusion energy could contribute to the solution of pression problems of climate change. Sergei has said that this is an extremely interesting application of AI technology for engineering. Read the full paper here .

13. TranAd: Deep Transformer Networks for Anomaly Detection in Multivariate Time Series Data (2022) – Shreshth Tuli, Giuliano Casale and Nicholas R. Jennings

The final paper chosen by Sergei is a specialised paper applying transformer architecture to the problem of unsupervised anomaly detection in multivariate time-series. Many architectures which were successful in other fields are at some points being also applied to time-series. The paper shows an improved performance on some known data sets. Read the full paper here .

top research papers 2022

Abdullahi Adamu, Senior Software Engineer at Sony

Abdullahi has worked in various industries including working at a market research start-up where he developed models that could extract insights from human conversations about products or services. He moved to Publicis, where he became Data Engineer and Data Scientist in 2018. Abdullahi will be part of our panel discussion at the London AI Summit in September, where he will discuss Harnessing the Power of Deep Learning.

14. Self-Supervision for Learning from the Bottom Up (2022) – Alexei Efros

This paper chosen by Abdullahi makes compelling arguments for why self-supervision is the next step in the evolution of AI/ML for building more robust models. Overall, these compelling arguments justify even further why self-supervised learning is important on our journey towards more robust models that generalise better in the wild. Read the full paper here .

15. Neural Architecture Search Survey: A Hardware Perspective (2022) – Krishna Teja Chitty-Venkata and Arun K. Somani

Another paper chosen by Abdullahi understands that as we move towards edge computing and federated learning, neural architecture search that takes into account hardware constraints which will be more critical in ensuring that we have leaner neural network models that balance latency and generalisation performance. This survey gives a birds eye view of the various neural architecture search algorithms that take into account hardware constraints to design artificial neural networks that give the best tradeoff of performance and accuracy. Read the full paper here .

16. What Should Not Be Contrastive In Contrastive Learning (2021) – Tete Xiao et al.

In the paper chosen by Abdullahi highlights the underlying assumptions behind data augmentation methods and how these can be counter productive in the context of contrastive learning; for example colour augmentation whilst a downstream task is meant to differentiate colours of objects. The result reported show promising results in the wild. Overall, it presents an elegant solution to using data augmentation for contrastive learning. Read the full paper here .

17. Why do tree-based models still outperform deep learning on tabular data? (2022) – Leo Grinsztajn, Edouard Oyallon and Gael Varoquaux

The final paper selected by Abdulliah works on answering the question of why deep learning models still find it hard to compete on tabular data compared to tree-based models. It is shown that MLP-like architectures are more sensitive to uninformative features in data, compared to their tree-based counterparts. Read the full paper here .

Sign up to the RE•WORK monthly newsletter for the latest AI news, trends and events.

Join us at our upcoming events this year:

·       London AI Summit – 14-15 September 2022

·       Berlin AI Summit – 4-5 October 2022

·       AI in Healthcare Summit Boston – 13-14 October 2022

·       Sydney Deep Learning and Enterprise AI Summits – 17-18 October 2022

·       MLOps Summit – 9-10 November 2022

·       Toronto AI Summit – 9-10 November 2022

·       Nordics AI Summit - 7-8 December 2022

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Top 10 most cited papers in 2022 (global ranking)

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Summarising the results of the year 2022, we would like to present our ranking of the most cited papers. It includes the scientific works that were cited most frequently by the users of the online bibliographic service Grafiati .

We have analysed the whole array of the millions of sources in our catalogues and have compiled the rankings of the most cited journal articles and other scholarly works, as well as of the most cited journals and science sectors.

Let’s proceed to the results.

Top 10 most cited articles in 2022

In 2022, the following articles from scholarly journals were cited most often:

  • Thévenaz, Pierre. "O que é a fenomenologia? a fenomenologia de Merleau-Ponty (1952)." Translated by José Olinda Revista do Nufen 9, no. 2 (May–August 2017): 169–76. https://doi.org/10.26823/revistadonufen.vol9.n02translation12 .
  • Schulz, Pierre. "Biological Clocks and the Practice of Psychiatry."  Chronobiology in Psychiatry 9, no. 3 (September 2007): 237–55. https://doi.org/10.31887/dcns.2007.9.3/pschulz .
  • Safarzadeh, M. Sadegh, Michael S. Moats, and Jan D. Miller. "Erratum to “Acid Bake-Leach Process for the Treatment of Enargite Concentrates”, Hydrometallurgy 119–120 (2012), Pp. 30–39 http://www.sciencedirect.com/science/article/pii/S0304386X12000606." Hydrometallurgy 139 (July 2013): 100. https://doi.org/10.1016/j.hydromet.2013.07.001 .
  • Mehta, Anita, Isham Mittal, and Anushka Kakkar. "Artificial Intelligence in Dental Medicine."  Acta Scientific Dental Sciences 6, no. 2 (February 1, 2022): 57–59. https://doi.org/10.31080/asds.2022.06.1298 .
  • Ejsmont, Wiktor. "Free Meixner Distributions."  Didactics of Mathematics 13, no. 17 (2016): 13–16. https://doi.org/10.15611/dm.2016.13.02 .
  • Pérez Zapata, Beatriz. "“I Am the Sole Author”: Inauthenticity and Intertextuality in Zadie Smith’s NW."  Journal of the Spanish Association for Anglo-American Studies 42, no. 2 (December 23, 2020): 180–96. https://doi.org/10.28914/atlantis-2020-42.2.09 .
  • Pendrill, L. R., A. Allard, N. Fischer, P. M. Harris, J. Nguyen, and I. M. Smith. "Software to Maximize End-User Uptake of Conformity Assessment With Measurement Uncertainty, Including Bivariate Cases. The European EMPIR CASoft Project."  NCSL International Measure 13, no. 1 (February 2021): 58–69. https://doi.org/10.51843/measure.13.1.6 .
  • Kinkpe, C. V. A., M. M. Niane, A. B. Gueye, L. Lamah, M. M. Traore, G. F. Ndoye, N. F. Coulibaly, and A. N. Diop. "A Case of Pott’s Disease Under the Occipital Area."  Journal of Orthopedics & Bone Disorders 1, no. 7 (2017): 000139. https://doi.org/10.23880/jobd-16000139 .
  • "Kuo PJ, Lee CL, Wang JH, Hsieh SY, Huang SC, Lam CF. Inhalation of Volatile Anesthetics via a Laryngeal Mask Is Associated With Lower Incidence of Intraoperative Awareness in Non‐Critically Ill Patients. PLoS One. 2017;12(10):e0186337. Https://doi. Org/10.1371/journal.pone.0186337." Evidence appraisal. AORN Journal 109, no. 2 (January 29, 2019): 256–61. https://doi.org/10.1002/aorn.12603 .
  • Selvamuthu Kumaran, K., and S. Balaji. "Post Traumatic Hydrocephalus in Severe Head Injury - Risk Factors."  Acta Scientific Neurology 5, no. 8 (August 1, 2022): 03–09. https://doi.org/10.31080/asne.2022.05.0523 .
  • The first place in our ranking belongs of the most cited journal articles belongs to the work by French philosopher Pierre Thévenaz translated into Portuguese by José Olinda Braga in 2017.
  • The third most cited article is an erratum bringing corrections to a previously published paper.
  • 5 out of the 10 top cited articles of 2022 belong to the sector of medicine, and 2 more – to the humanities.
  • A half of the top 10 articles were published in 2020–2022; the oldest article in this list was published in 2007.

What sectors are being cited most often?

Most often, the users of Grafiati are citing works containing the following keywords:

Most cited science sectors of 2022

As can be seen from the image, the most cited works of 2022 came from the field of medicine, including psychology and psychiatry, cardiology, orthopedics, neurology, etc. Other popular sectors of science are history, education, marketing, management, law, biochemistry, microbiology, etc.

Top 10 most cited scholarly journals of 2022

In 2022, the users of Grafiati cited most often academic papers published in the following journals:

As can be seen from the table, journals holding the leading positions in the ranking of the most cited periodical publications of 2022 on Grafiati have a multidisciplinary focus. Other popular journals specialise in medicine and public health. Also, it is important to note that 6 positions in the top 10 belong to journals published in the United States and the United Kingdom (3 journals each), and the other 4 belong to Switzerland and Brazil (2 journals each).

Top 10 most cited scientific works (excluding journal articles)

Articles in scholarly journals are the most popular source type among the researchers, as such works undergo the peer review process and have a high degree of academic credibility. However, scientists are also citing other types of publications, and here are the top 10 works by number of citations in 2022:

  • Pedersen, Torben. "HTTPS, Secure HTTPS." In  Encyclopedia of Cryptography and Security , edited by Henk C. A. Tilborg, 268–69. New York, NY: Springer, 2005. https://doi.org/10.1007/0-387-23483-7_189 .
  • American Psychiatric Association.  Diagnostic and Statistical Manual of Mental Disorders: DSM-5 . 5th ed. Washington, DC: American Psychiatric Association, 2013.
  • Hernández Sampieri, Roberto, Carlos Fernández Collado, and Pilar Baptista Lucio.  Metodología de la investigación . 3rd ed. México: McGraw Hill, 2004.
  • Brown, Theodore L., H. Eugene LeMay Jr., Bruce E. Bursten, Catherine J. Murphy, and Patrick M. Woodward.  Química: La ciencia central . Translated by Ana Elizabeth García Hernández. 12th ed. México: Pearson Educación, 2014.
  • Frei, Jiří, ed.  Cesta poznávání a vzdělávání v ošetřovatelství XI. a jarní/podzimní konference ČAS Region plzeňský "NURSING NOW" . Plzeň: Západočeská univerzita v Plzni, Fakulta zdravotnických studií, Katedra ošetřovatelství a porodní asistence, 2020. https://doi.org/10.24132/cpvo.2020.09.17-135.26109631 .
  • Tortora, Gerard J., and Bryan H. Derrickson.  Principios de anatomía y fisiología . 11th ed. México: Editorial Médica Panamericana, 2006.
  • Kasper, D. L., A. S. Fauci, S. L. Hauser, D. L. Longo, J. Jameson, and J. Loscalzo.  Harrison principios de medicina interna . 19th ed. Madrid: McGraw-Hill Interamericana de España, 2016.
  • Associação Americana de Psiquiatria.  Manual Diagnóstico e Estatístico de Transtornos Mentais: DSM-IV-TR . Translated by Claudia Dornelles. 4th ed. Porto Alegre: Artmed, 1995.
  • Alexander, Charles K., and Matthew N. O. Sadiku.  Fundamentos de circuitos eléctricos . 5th ed. México: McGraw-Hill Interamericana, 2013.
  • Chang, Raymond.  Química . Translated by María del Carmen Ramírez Medeles and Rosa Zugazagoltía Herranz. 7th ed. México: McGraw-Hill, 2005.
  • The most cited scientific work of 2022 (excluding journal articles) is an encyclopedia entry, another source from the top 10 is a collection of conference proceedings, while the other works in the ranking are books.
  • 6 out of the 10 most cited works are in the Spanish language, 2 are in English, and the Portuguese and Czech languages account for 1 work each.
  • The 5th position by number of citations belongs to the collection of published proceedings of the conference Cesta poznávání a vzdělávání v ošetřovatelství XI held in the Czech Republic in 2020.
  • 2 positions in the top 10 belong to the DSM manual published by the American Psychiatric Association, namely its 5th English-language and 4th Portuguese-language editions.

The most cited dissertations/theses are the following (note that the top 3 dissertations include works in English, Spanish, and French):

  • Caputo, Mário Vicente. "Stratigraphy, Tectonics, Paleoclimatology and Paleogeography of Northern Basins of Brazil." PhD diss., University of California, 1984. https://www.researchgate.net/publication/35842332_Stratigraphy_tectonics_paleoclimatology_and_paleogeography_of_northern_basins_of_Brazil .
  • Fernández Marrero, Ana. "La expansión del español en el mundo: La prensa española en Australia. (La influencia del inglés en los periódicos hispánicos)." Tesis doctoral, Universidad de La Laguna, 2005.  http://dialnet.unirioja.es/servlet/oaites?codigo=1057 .
  • Lattouf, Ziad. « La mise en oeuvre de l'accord d'association en Algérie - Union européenne dans les perspectives du respect des droits de l'homme ». Thèse de doctorat, École doctorale de droit, 2011.  http://www.theses.fr/2011LYO30002 .

The most cited conference paper is:

Powęska, Halina. "Absorption of 2007–2013 EU Funding for Utilization of Natural Assets in Rural Areas in Poland." In  Proceedings of the 7th International Scientific Conference Rural Development 2015: Towards the Transfer of Knowledge, Innovations and Social Progress , edited by Asta Raupelienė. Akademija: Aleksandras Stulginskis University, 2015. https://doi.org/10.15544/rd.2015.115 .

Citing papers in 2023

In 2022, hundreds of thousands of researchers and students around the globe were actively using our service. We hope that science will keep blooming in 2023 and you will always be citing papers at ease with the help of Grafiati.

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2022: a year full of amazing ai papers- a review 🚀, a curated list of the latest breakthroughs in ai by release date with a clear video explanation, link to a more in-depth article, and code..

While the world is still recovering, research hasn't slowed its frenetic pace, especially in the field of artificial intelligence. More, many important aspects were highlighted this year, like the ethical aspects, important biases, governance, transparency and much more. Artificial intelligence and our understanding of the human brain and its link to AI are constantly evolving, showing promising applications improving our life's quality in the near future. Still, we ought to be careful with which technology we choose to apply.

"Science cannot tell us what we ought to do, only what we can do." - Jean-Paul Sartre, Being and Nothingness

Here's curated list of the latest breakthroughs in AI and Data Science by release date with a clear video explanation, link to a more in-depth article, and code (if applicable). Enjoy the read!

The complete reference to each paper is listed at the end of this repository. Star this repository to stay up to date and stay tuned for next year! ⭐️

Maintainer: louisfb01 , also active on YouTube and as a Podcaster if you want to see/hear more about AI!

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Feel free to message me any interesting paper I may have missed to add to this repository.

Tag me on Twitter @Whats_AI or LinkedIn @Louis (What's AI) Bouchard if you share the list! And come chat with us in our Learn AI Together Discord community !

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Watch a complete 2022 rewind in 8 minutes

top research papers 2022

The Full List

Resolution-robust large mask inpainting with fourier convolutions [1], stitch it in time: gan-based facial editing of real videos [2], neroic: neural rendering of objects from online image collections [3], speechpainter: text-conditioned speech inpainting [4], towards real-world blind face restoration with generative facial prior [5], 4d-net for learned multi-modal alignment [6], instant neural graphics primitives with a multiresolution hash encoding [7], hierarchical text-conditional image generation with clip latents [8], mystyle: a personalized generative prior [9], opt: open pre-trained transformer language models [10], blobgan: spatially disentangled scene representations [11], a generalist agent [12], photorealistic text-to-image diffusion models with deep language understanding [13].

  • Dalle mini [14]

No Language Left Behind: Scaling Human-Centered Machine Translation [15]

Dual-shutter optical vibration sensing [16], make-a-scene: scene-based text-to-image generation with human priors [17], banmo: building animatable 3d neural models from many casual videos [18], high-resolution image synthesis with latent diffusion models [19], panoptic scene graph generation [20], an image is worth one word: personalizing text-to-image generation using textual inversion [21], expanding language-image pretrained models for general video recognition [22], make-a-video: text-to-video generation without text-video data [23], robust speech recognition via large-scale weak supervision [24], dreamfusion: text-to-3d using 2d diffusion [25], imagic: text-based real image editing with diffusion models [26], ediffi: text-to-image diffusion models with an ensemble of expert denoisers [27], infinitenature-zero: learning perpetual view generation of natural scenes from single images [28], galactica: a large language model for science [29], real-time neural radiance talking portrait synthesis via audio-spatial decomposition [30], chatgpt: optimizing language models for dialogue [31], production-ready face re-aging for visual effects [32], paper references.

You’ve most certainly experienced this situation once: You take a great picture with your friend, and someone is photobombing behind you, ruining your future Instagram post. Well, that’s no longer an issue. Either it is a person or a trashcan you forgot to remove before taking your selfie that’s ruining your picture. This AI will just automatically remove the undesired object or person in the image and save your post. It’s just like a professional photoshop designer in your pocket, and with a simple click!

This task of removing part of an image and replacing it with what should appear behind has been tackled by many AI researchers for a long time. It is called image inpainting, and it’s extremely challenging...

top research papers 2022

  • Short read: This AI Removes Unwanted Objects From your Images!
  • Paper: Resolution-robust Large Mask Inpainting with Fourier Convolutions
  • Product using LaMa

You've most certainly seen movies like the recent Captain Marvel or Gemini Man where Samuel L Jackson and Will Smith appeared to look like they were much younger. This requires hundreds if not thousands of hours of work from professionals manually editing the scenes he appeared in. Instead, you could use a simple AI and do it within a few minutes. Indeed, many techniques allow you to add smiles, make you look younger or older, all automatically using AI-based algorithms. It is called AI-based face manipulations in videos and here's the current state-of-the-art in 2022!

top research papers 2022

  • Short read: AI Facial Editing of Real Videos ! Stitch it in Time Explained
  • Paper: Stitch it in Time: GAN-Based Facial Editing of Real Videos

Neural Rendering. Neural Rendering is the ability to generate a photorealistic model in space just like this one, from pictures of the object, person, or scene of interest. In this case, you’d have a handful of pictures of this sculpture and ask the machine to understand what the object in these pictures should look like in space. You are basically asking a machine to understand physics and shapes out of images. This is quite easy for us since we only know the real world and depths, but it’s a whole other challenge for a machine that only sees pixels. It’s great that the generated model looks accurate with realistic shapes, but what about how it blends in the new scene? And what if the lighting conditions vary in the pictures taken and the generated model looks different depending on the angle you look at it? This would automatically seem weird and unrealistic to us. These are the challenges Snapchat and the University of Southern California attacked in this new research.

top research papers 2022

  • Short read: Create Realistic 3D Renderings with AI !
  • Paper: NeROIC: Neural Rendering of Objects from Online Image Collections

We’ve seen image inpainting, which aims to remove an undesirable object from a picture. The machine learning-based techniques do not simply remove the objects, but they also understand the picture and fill the missing parts of the image with what the background should look like. The recent advancements are incredible, just like the results, and this inpainting task can be quite useful for many applications like advertisements or improving your future Instagram post. We also covered an even more challenging task: video inpainting, where the same process is applied to videos to remove objects or people.

The challenge with videos comes with staying consistent from frame to frame without any buggy artifacts. But now, what happens if we correctly remove a person from a movie and the sound is still there, unchanged? Well, we may hear a ghost and ruin all our work.

This is where a task I never covered on my channel comes in: speech inpainting. You heard it right, researchers from Google just published a paper aiming at inpainting speech, and, as we will see, the results are quite impressive. Okay, we might rather hear than see the results, but you get the point. It can correct your grammar, pronunciation or even remove background noise. All things I definitely need to keep working on, or… simply use their new model… Listen to the examples in my video!

top research papers 2022

  • Short read: Speech Inpainting with AI !
  • Paper: SpeechPainter: Text-conditioned Speech Inpainting
  • Listen to more examples

Do you also have old pictures of yourself or close ones that didn’t age well or that you, or your parents, took before we could produce high-quality images? I do, and I felt like those memories were damaged forever. Boy, was I wrong!

This new and completely free AI model can fix most of your old pictures in a split second. It works well even with very low or high-quality inputs, which is typically quite the challenge.

This week’s paper called Towards Real-World Blind Face Restoration with Generative Facial Prior tackles the photo restoration task with outstanding results. What’s even cooler is that you can try it yourself and in your preferred way. They have open-sourced their code, created a demo and online applications for you to try right now. If the results you’ve seen above aren’t convincing enough, just watch the video and let me know what you think in the comments, I know it will blow your mind!

top research papers 2022

  • Short read: Impressive photo restoration by AI !
  • Paper: Towards real-world blind face restoration with generative facial prior

How do autonomous vehicles see?

You’ve probably heard of LiDAR sensors or other weird cameras they are using. But how do they work, how can they see the world, and what do they see exactly compared to us? Understanding how they work is essential if we want to put them on the road, primarily if you work in the government or build the next regulations. But also as a client of these services.

We previously covered how Tesla autopilot sees and works, but they are different from conventional autonomous vehicles. Tesla only uses cameras to understand the world, while most of them, like Waymo, use regular cameras and 3D LiDAR sensors. These LiDAR sensors are pretty simple to understand: they won’t produce images like regular cameras but 3D point clouds. LiDAR cameras measure the distance between objects, calculating the pulse laser’s traveling time that they project to the object.

Still, how can we efficiently combine this information and have the vehicle understand it? And what does the vehicle end up seeing? Only points everywhere? Is it enough for driving on our roads? We will look into this with a new research paper by Waymo and Google Research...

top research papers 2022

  • Short read: Combine Lidar and Cameras for 3D object detection - Waymo
  • Paper: 4D-Net for Learned Multi-Modal Alignment

As if taking a picture wasn’t a challenging enough technological prowess, we are now doing the opposite: modeling the world from pictures. I’ve covered amazing AI-based models that could take images and turn them into high-quality scenes. A challenging task that consists of taking a few images in the 2-dimensional picture world to create how the object or person would look in the real world.

Take a few pictures and instantly have a realistic model to insert into your product. How cool is that?!

The results have dramatically improved upon the first model I covered in 2020, called NeRF. And this improvement isn’t only about the quality of the results. NVIDIA made it even better.

Not only that the quality is comparable, if not better, but it is more than 1'000 times faster with less than two years of research.

top research papers 2022

  • Short read: NVIDIA Turns Photos into 3D Scenes in Milliseconds
  • Paper: Instant Neural Graphics Primitives with a Multiresolution Hash Encoding

Last year I shared DALL·E, an amazing model by OpenAI capable of generating images from a text input with incredible results. Now is time for his big brother, DALL·E 2. And you won’t believe the progress in a single year! DALL·E 2 is not only better at generating photorealistic images from text. The results are four times the resolution!

As if it wasn’t already impressive enough, the recent model learned a new skill; image inpainting.

DALL·E could generate images from text inputs.

DALL·E 2 can do it better, but it doesn’t stop there. It can also edit those images and make them look even better! Or simply add a feature you want like some flamingos in the background.

Sounds interesting? Learn more in the video or read more below!

top research papers 2022

  • Short read: OpenAI's new model DALL·E 2 is amazing!
  • Paper: Hierarchical Text-Conditional Image Generation with CLIP Latents

This new model by Google Research and Tel-Aviv University is incredible. You can see it as a very, very powerful deepfake that can do anything.

Take a hundred pictures of any person and you have its persona encoded to fix, edit or create any realistic picture you want.

This is both amazing and scary if you ask me, especially when you look at the results. Watch the video to see more results and understand how the model works!

top research papers 2022

  • Short read: Your Personal Photoshop Expert with AI!
  • Paper: MyStyle: A Personalized Generative Prior
  • Code (coming soon)
Check out the What's AI podcast for more AI content in the form of interviews with experts in the field! An invited AI expert and I will cover specific topics, sub-fields, and roles related to AI to teach and share knowledge from the people who worked hard to gather it.

We’ve all heard about GPT-3 and have somewhat of a clear idea of its capabilities. You’ve most certainly seen some applications born strictly due to this model, some of which I covered in a previous video about the model. GPT-3 is a model developed by OpenAI that you can access through a paid API but have no access to the model itself.

What makes GPT-3 so strong is both its architecture and size. It has 175 billion parameters. Twice the amount of neurons we have in our brains! This immense network was pretty much trained on the whole internet to understand how we write, exchange, and understand text. This week, Meta has taken a big step forward for the community. They just released a model that is just as powerful, if not more and has completely open-sourced it.

top research papers 2022

  • Short read: Meta's new model OPT is GPT-3's closest competitor! (and is open source)
  • Paper: OPT: Open Pre-trained Transformer Language Models

BlobGAN allows for unreal manipulation of images, made super easily controlling simple blobs. All these small blobs represent an object, and you can move them around or make them bigger, smaller, or even remove them, and it will have the same effect on the object it represents in the image. This is so cool!

As the authors shared in their results, you can even create novel images by duplicating blobs, creating unseen images in the dataset like a room with two ceiling fans ! Correct me if I’m wrong, but I believe it is one of, if not the first, paper to make the modification of images as simple as moving blobs around and allowing for edits that were unseen in the training dataset. 

And you can actually play with this one compared to some companies we all know! They shared their code publicly and a Colab Demo you can try right away. Even more exciting is how BlobGAN works. Learn more in the video!

top research papers 2022

  • Short read: This is a BIG step for GANs! BlobGAN Explained
  • Paper: BlobGAN: Spatially Disentangled Scene Representations

Gato from DeepMind was just published! It is a single transformer that can play Atari games, caption images, chat with people, control a real robotic arm, and more! Indeed, it is trained once and uses the same weights to achieve all those tasks. And as per Deepmind, this is not only a transformer but also an agent. This is what happens when you mix Transformers with progress on multi-task reinforcement learning agents.

Gato is a multi-modal agent. Meaning that it can create captions for images or answer questions as a chatbot. You’d say that GPT-3 can already do that, but Gato can do more… The multi-modality comes from the fact that Gato can also play Atari games at the human level or even do real-world tasks like controlling robotic arms to move objects precisely. It understands words, images, and even physics...

top research papers 2022

  • Short read: Deepmind's new model Gato is amazing!
  • Paper: A Generalist Agent

If you thought Dall-e 2 had great results, wait until you see what this new model from Google Brain can do.

Dalle-e is amazing but often lacks realism, and this is what the team attacked with this new model called Imagen.

They share a lot of results on their project page as well as a benchmark, which they introduced for comparing text-to-image models, where they clearly outperform Dall-E 2, and previous image generation approaches. Learn more in the video...

top research papers 2022

  • Short read: Google Brain's Answer to Dalle-e 2: Imagen
  • Paper: Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding
  • Project page with results

DALL·E Mini [14]

Dalle mini is amazing — and YOU can use it!

I'm sure you've seen pictures like those in your Twitter feed in the past few days. If you wondered what they were, they are images generated by an AI called DALL·E mini. If you've never seen those, you need to watch this video because you are missing out. If you wonder how this is possible, well, you are on the perfect video and will know the answer in less than five minutes.

Dalle mini is a free, open-source AI that produces amazing images from text inputs.

top research papers 2022

  • Short read: How does dalle-mini work?
  • Huggingface official demo

Meta AI’s most recent model, called “No Language Left Behind” does exactly that: translates across 200 different languages with state-of-the-art quality. A single model can handle 200 languages. How incredible is that?

We find it difficult to have great results strictly in English while Meta is tackling 200 different languages with the same model, and some of the most complicated and less represented ones that even google translate struggles with...

top research papers 2022

  • Short read: No Language Left Behind
  • Paper: No Language Left Behind

They reconstruct sound using cameras and a laser beam on any vibrating surface, allowing them to isolate music instruments, focus on a specific speaker, remove ambient noises, and many more amazing applications.

top research papers 2022

  • Short read: CVPR 2022 Best Paper Honorable Mention: Dual-Shutter Optical Vibration Sensing
  • Project page
  • Paper: Dual-Shutter Optical Vibration Sensing

Make-A-Scene is not “just another Dalle”. The goal of this new model isn’t to allow users to generate random images following text prompt as dalle does — which is really cool — but restricts the user control on the generations.

Instead, Meta wanted to push creative expression forward, merging this text-to-image trend with previous sketch-to-image models, leading to “Make-A-Scene”: a fantastic blend between text and sketch-conditioned image generation.

top research papers 2022

  • Short read: Produce Amazing Artworks with Text and Sketches!
  • Paper: Make-a-scene: Scene-based text-to-image generation with human priors

Create deformable 3D models from pictures with BANMo!

top research papers 2022

  • Short read: Build Animatable 3D Models with AI
  • Paper: BANMo: Building Animatable 3D Neural Models from Many Casual Videos

What do all recent super powerful image models like DALLE, Imagen, or Midjourney have in common? Other than their high computing costs, huge training time, and shared hype, they are all based on the same mechanism: diffusion. Diffusion models recently achieved state-of-the-art results for most image tasks including text-to-image with DALLE but many other image generation-related tasks too, like image inpainting, style transfer or image super-resolution.

top research papers 2022

  • Short read: Latent Diffusion Models: The Architecture behind Stable Diffusion
  • Paper: High-resolution image synthesis with latent diffusion models

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Panoptic scene graph generation, or PSG, is a new problem task aiming to generate a more comprehensive graph representation of an image or scene based on panoptic segmentation rather than bounding boxes. It can be used to understand images and generate sentences describing what's happening. This may be the most challenging task for an AI! Learn more below...

top research papers 2022

  • Short read: One of the Most Challenging Tasks for AI
  • Paper: Panoptic Scene Graph Generation

Text-to-Image models like DALLE or stable diffusion are really cool and allow us to generate fantastic pictures with a simple text input. But would it be even cooler to give them a picture of you and ask it to turn it into a painting? Imagine being able to send any picture of an object, person, or even your cat, and ask the model to transform it into another style like turning yourself into a cyborg of into your preferred artistic style or adding it to a new scene.

Basically, how cool would it be to have a version of DALLE we can use to photoshop our pictures instead of having random generations? Having a personalized DALLE, while making it much more simple to control the generation as “an image is worth a thousand words”. It would be like having a DALLE model that is just as personalized and addictive as the TikTok algorithm.

Well, this is what researchers from Tel Aviv University and NVIDIA worked on. They developed an approach for conditioning text-to-image models, like stable diffusion I covered last week, with a few images to represent any object or concept through the words you will send along your images. Transforming the object of your input images into whatever you want!

top research papers 2022

  • Short read: Guiding Stable Diffusion with your Images
  • Paper: An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion

We’ve seen AI generate text, then generate images and most recently even generate short videos, even though they still need work. The results are incredible when you think that no one is actually involved in the creation process of these pieces and it only has to be trained once to then be used by thousands of people like stable diffusion is. Still, do these models really understand what they are doing? Do they know what the picture or video they just produced really represents? What does such a model understand when it sees such a picture or, even more complex, a video?

top research papers 2022

  • Short read: General Video Recognition with AI
  • Paper: Expanding Language-Image Pretrained Models for General Video Recognition

Meta AI’s new model make-a-video is out and in a single sentence: it generates videos from text. It’s not only able to generate videos, but it’s also the new state-of-the-art method, producing higher quality and more coherent videos than ever before!

top research papers 2022

  • Short read: Make-a-video: The AI Film Maker!
  • Paper: MAKE-A-VIDEO: TEXT-TO-VIDEO GENERATION WITHOUT TEXT-VIDEO DATA

Have you ever dreamed of a good transcription tool that would accurately understand what you say and write it down? Not like the automatic YouTube translation tools… I mean, they are good but far from perfect. Just try it out and turn the feature on for the video, and you’ll see what I’m talking about.

Luckily, OpenAI just released and open-sourced a pretty powerful AI model just for that: Whisper.

It understands stuff I can’t even comprehend, not being a native English speaker (listen in the video) and it works for language translation too!

top research papers 2022

  • Short read: OpenAI's Most Recent Model: Whisper (explained)
  • Paper: Robust Speech Recognition via Large-Scale Weak Supervision

We’ve seen models able to take a sentence and generate images. Then, other approaches to manipulate the generated images by learning specific concepts like an object or particular style.

Last week Meta published the Make-A-Video model that I covered, which allows you to generate a short video also from a text sentence. The results aren’t perfect yet, but the progress we’ve made in the field since last year is just incredible.

This week we make another step forward.

Here’s DreamFusion, a new Google Research model that can understand a sentence enough to generate a 3D model of it. You can see this as a DALLE or Stable Diffusion but in 3D.

top research papers 2022

  • Short read: 3D Models from Text! DreamFusion Explained
  • Paper: DreamFusion: Text-to-3D using 2D Diffusion

If you think the recent image generation models like DALLE or Stable Diffusion are cool, you just won’t believe how incredible this one is. "This one" is Imagic. Imagic takes such a diffusion-based model able to take text and generate images out of it and adapts the model to edit the images. You can generate an image and then teach the model to edit it any way you want.

top research papers 2022

  • Short read: AI Image Editing from Text! Imagic Explained
  • Paper: Imagic: Text-Based Real Image Editing with Diffusion Models
  • Stable Diffusion implementation

eDiffi, NVIDIA's most recent model, generates better-looking and more accurate images than all previous approaches like DALLE 2 or Stable Diffusion. eDiffi better understands the text you send and is more customizable, adding a feature we saw in a previous paper from NVIDIA: the painter tool.

top research papers 2022

  • Short read: eDiffi explained: New SOTA Image Synthesis model!
  • Paper: eDiffi: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Generate infinite new frames as if you would be flying into your image!

top research papers 2022

  • Short read: InfiniteNature-Zero: Fly Into Your Pictures With AI!
  • Paper: InfiniteNature-Zero: Learning Perpetual View Generation of Natural Scenes from Single Images

Galactica is a large language model with a size comparable to GPT-3, but specialized on scientific knowledge. The model can write whitepapers, reviews, Wikipedia pages, and code. It knows how to cite and how to write equations. It’s kind of a big deal for AI and science.

top research papers 2022

  • Short read: Galactica: What is it and What Happened?
  • Paper: Galactica: A Large Language Model for Science

From a single video, they can synthesize the person talking for pretty much any word or sentence in real time with better quality. You can animate a talking head following any audio track in real-time.

top research papers 2022

  • Short read: From Audio to Talking Heads in Real-Time with AI! RAD-NeRF explained
  • Paper: Real-time Neural Radiance Talking Portrait Synthesis via Audio-spatial Decomposition

ChatGPT has taken over Twitter and pretty much the whole internet, thanks to its power and the meme potential it provides. We all know how being able to generate memes is the best way to conquer the internet, and so it worked.

Since you’ve seen numerous examples, you might already know that ChatGPT is an AI recently released to the public by OpenAI, that you can chat with. It is also called a chatbot, meaning you can interact with it conversationally, imitatting a one-on-one human discussion.

What you might not know is what it is and how it works... Watch the video or read the article or blog post below to learn more!

top research papers 2022

  • Short read: What is ChatGPT?
  • Blog Post: ChatGPT: Optimizing Language Models for Dialogue

Whether it be for fun in a Snapchat filter, for a movie, or even to remove a few wrinkles, we all have a utility in mind for being able to change our age in a picture.

This is usually done by skilled artists using Photoshop or a similar tool to edit your pictures. Worst, in a video, they have to do this kind of manual editing for every frame! Just imagine the amount of work needed for that. Well, here’s a solution and a new problem to this situation... 👇

top research papers 2022

  • Short read: Automatic Re-Aging with AI! Disney’s FRAN Model Explained
  • Blog Post: Production-Ready Face Re-Aging for Visual Effects
If you would like to read more papers and have a broader view, here is another great repository for you covering 2021: 2021: A Year Full of Amazing AI papers- A Review and feel free to subscribe to my weekly newsletter and stay up-to-date with new publications in AI for 2022!

Tag me on Twitter @Whats_AI or LinkedIn @Louis (What's AI) Bouchard if you share the list!

[1] Suvorov, R., Logacheva, E., Mashikhin, A., Remizova, A., Ashukha, A., Silvestrov, A., Kong, N., Goka, H., Park, K. and Lempitsky, V., 2022. Resolution-robust Large Mask Inpainting with Fourier Convolutions. In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (pp. 2149–2159)., https://arxiv.org/pdf/2109.07161.pdf

[2] Tzaban, R., Mokady, R., Gal, R., Bermano, A.H. and Cohen-Or, D., 2022. Stitch it in Time: GAN-Based Facial Editing of Real Videos. https://arxiv.org/abs/2201.08361

[3] Kuang, Z., Olszewski, K., Chai, M., Huang, Z., Achlioptas, P. and Tulyakov, S., 2022. NeROIC: Neural Rendering of Objects from Online Image Collections. https://arxiv.org/pdf/2201.02533.pdf

[4] Borsos, Z., Sharifi, M. and Tagliasacchi, M., 2022. SpeechPainter: Text-conditioned Speech Inpainting. https://arxiv.org/pdf/2202.07273.pdf

[5] Wang, X., Li, Y., Zhang, H. and Shan, Y., 2021. Towards real-world blind face restoration with generative facial prior. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 9168–9178), https://arxiv.org/pdf/2101.04061.pdf

[6] Piergiovanni, A.J., Casser, V., Ryoo, M.S. and Angelova, A., 2021. 4d-net for learned multi-modal alignment. In Proceedings of the IEEE/CVF International Conference on Computer Vision (pp. 15435–15445), https://openaccess.thecvf.com/content/ICCV2021/papers/Piergiovanni_4D-Net_for_Learned_Multi-Modal_Alignment_ICCV_2021_paper.pdf .

[7] Thomas Muller, Alex Evans, Christoph Schied and Alexander Keller, 2022, "Instant Neural Graphics Primitives with a Multiresolution Hash Encoding", https://nvlabs.github.io/instant-ngp/assets/mueller2022instant.pdf

[8] A. Ramesh et al., 2022, "Hierarchical Text-Conditional Image Generation with CLIP Latents", https://cdn.openai.com/papers/dall-e-2.pdf

[9] Nitzan, Y., Aberman, K., He, Q., Liba, O., Yarom, M., Gandelsman, Y., Mosseri, I., Pritch, Y. and Cohen-Or, D., 2022. MyStyle: A Personalized Generative Prior. arXiv preprint arXiv:2203.17272.

[10] Zhang, Susan et al. “OPT: Open Pre-trained Transformer Language Models.” https://arxiv.org/abs/2205.01068

[11] Epstein, D., Park, T., Zhang, R., Shechtman, E. and Efros, A.A., 2022. BlobGAN: Spatially Disentangled Scene Representations. arXiv preprint arXiv:2205.02837.

[12] Reed S. et al., 2022, Deemind: Gato - A generalist agent, https://storage.googleapis.com/deepmind-media/A%20Generalist%20Agent/Generalist%20Agent.pdf

[13] Saharia et al., 2022, Google Brain, Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding, https://gweb-research-imagen.appspot.com/paper.pdf

[14] Dayma, et al., 2021, DALL·E Mini, doi:10.5281/zenodo.5146400

[15] NLLB Team et al., 2022, No Language Left Behind: Scaling Human-Centered Machine Translation

[16] Sheinin, Mark and Chan, Dorian and O’Toole, Matthew and Narasimhan, Srinivasa G., 2022, Dual-Shutter Optical Vibration Sensing, Proc. IEEE CVPR.

[17] Gafni, O., Polyak, A., Ashual, O., Sheynin, S., Parikh, D. and Taigman, Y., 2022. Make-a-scene: Scene-based text-to-image generation with human priors. https://arxiv.org/pdf/2203.13131.pdf

[18] Yang, G., Vo, M., Neverova, N., Ramanan, D., Vedaldi, A. and Joo, H., 2022. Banmo: Building animatable 3d neural models from many casual videos. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 2863-2873).

[19] Rombach, R., Blattmann, A., Lorenz, D., Esser, P. and Ommer, B., 2022. High-resolution image synthesis with latent diffusion models. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 10684–10695), https://arxiv.org/pdf/2112.10752.pdf

[20] Yang, J., Ang, Y.Z., Guo, Z., Zhou, K., Zhang, W. and Liu, Z., 2022. Panoptic Scene Graph Generation. arXiv preprint arXiv:2207.11247.

[21] Gal, R., Alaluf, Y., Atzmon, Y., Patashnik, O., Bermano, A.H., Chechik, G. and Cohen-Or, D., 2022. An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion.

[22] Ni, B., Peng, H., Chen, M., Zhang, S., Meng, G., Fu, J., Xiang, S. and Ling, H., 2022. Expanding Language-Image Pretrained Models for General Video Recognition. arXiv preprint arXiv:2208.02816.

[23] Singer et al. (Meta AI), 2022, “MAKE-A-VIDEO: TEXT-TO-VIDEO GENERATION WITHOUT TEXT-VIDEO DATA”, https://makeavideo.studio/Make-A-Video.pdf

[24] Radford, A., Kim, J.W., Xu, T., Brockman, G., McLeavey, C. and Sutskever, I., Robust Speech Recognition via Large-Scale Weak Supervision.

[25] Poole, B., Jain, A., Barron, J.T. and Mildenhall, B., 2022. DreamFusion: Text-to-3D using 2D Diffusion. arXiv preprint arXiv:2209.14988.

[26] Kawar, B., Zada, S., Lang, O., Tov, O., Chang, H., Dekel, T., Mosseri, I. and Irani, M., 2022. Imagic: Text-Based Real Image Editing with Diffusion Models. arXiv preprint arXiv:2210.09276.

[27] Balaji, Y. et al., 2022, eDiffi: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers, https://arxiv.org/abs/2211.01324

[28] Li, Z., Wang, Q., Snavely, N. and Kanazawa, A., 2022. InfiniteNature-Zero: Learning Perpetual View Generation of Natural Scenes from Single Images. In European Conference on Computer Vision (pp. 515–534). Springer, Cham, https://arxiv.org/abs/2207.11148

[29] Taylor et al., 2022: Galactica: A Large Language Model for Science, https://galactica.org/

[30] Tang, J., Wang, K., Zhou, H., Chen, X., He, D., Hu, T., Liu, J., Zeng, G. and Wang, J., 2022. Real-time Neural Radiance Talking Portrait Synthesis via Audio-spatial Decomposition. arXiv preprint arXiv:2211.12368.

[31] OpenAI, 2022: ChatGPT: Optimizing Language Models for Dialogue, https://openai.com/blog/chatgpt/

[32] Loss et al., DisneyResearch, 2022: FRAN, https://studios.disneyresearch.com/2022/11/30/production-ready-face-re-aging-for-visual-effects/

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10 trending open access articles 2022

Popular open access articles lead discussion on global topics.

Publishing open access (OA) means your research is free to read anywhere, anytime, and without barriers.

Below we explore some of the most popular open access articles published in 2022 by Taylor & Francis. With topics spanning COVID-19 treatments, artificial intelligence, and mental health – it’s clear to see that open access means wider discussion and impact for research.

1. Sex differences in sequelae from COVID-19 infection and in long COVID syndrome: a review

Shirley V. Sylvester, Rada Rusu, Biankha Chan, Martha Bellows, Carly O’Keefe & Susan Nicholson

Published in  Current Medical Research and Opinion

“Social media is a salient source for influencing consumers’ shopping and buying behaviors as they share product reviews, service experiences, and/or product usage tips. […] the findings illustrate the impact that social media can have on consumer decision-making processes.”

Chart image with the text 'Downloads in 2022: 49,760'

2. Structural and pragmatic language in young children with sex chromosome trisomy (XXX, XXY, XYY): predictive value for neurobehavioral problems one year later

Evelien Urbanus, Hanna Swaab, Nicole Tartaglia, Constance Stumpel & Sophie van Rijn

Published in The Clinical Neuropsychologist

“This study is one of the first studies that directly illustrates the relationship between language and behavioral outcomes in children with SCT. Our results stress the importance to closely monitor pragmatic language in addition to structural language in clinical care of children with SCT, as pragmatic language abilities could serve as an early marker for children at risk for developing behavioral problems.”

Chart image with the text 'Downloads in 2022: 22,987'

Post information

Related posts, insights topics, 3. probiotic improves symptomatic and viral clearance in covid19 outpatients: a randomized, quadruple-blinded, placebo-controlled trial.

Pedro Gutiérrez-Castrellón, Tania Gandara-Martí, Ana T. Abreu Y Abreu, Cesar D. Nieto-Rufino, Eduardo López-Orduña, Irma Jiménez-Escobar, Carlos Jiménez-Gutiérrez, Gabriel López-Velazquez & Jordi Espadaler-Mazo

Published in Gut Microbes

“Intestinal bacteria may influence lung homeostasis via the gut-lung axis. We conducted a single-center, quadruple-blinded, randomized trial in adult symptomatic Coronavirus Disease 2019 (Covid19) outpatients.”

Chart image with the text 'Downloads in 2022: 22,764'

4. Efficacy and safety of three new oral antiviral treatment (molnupiravir, fluvoxamine and Paxlovid) for COVID-19:a meta

Wen Wen, Chen Chen, Jiake Tang, Chunyi Wang, Mengyun Zhou, Yongran Cheng, Xiang Zhou, Qi Wu, Xingwei Zhang, Zhanhui Feng, Mingwei Wang & Qin Mao

Published in Annals of Medicine

“The coronavirus disease (COVID-19) epidemic has not been completely controlled. Although great achievements have been made in COVID-19 research and many antiviral drugs have shown good therapeutic effects against COVID-19, a simple oral antiviral drug for COVID-19 has not yet been developed. We conducted a meta-analysis to investigate the improvement in mortality or hospitalization rates and adverse events among COVID-19 patients with three new oral antivirals (including molnupiravir, fluvoxamine and Paxlovid).”

Chart image with the text 'Downloads in 2022: 19,320'

5. SARS-CoV-2 Omicron variant shows less efficient replication and fusion activity when compared with Delta variant in TMPRSS2-expressed cells  

Hanjun Zhao, Lu Lu, Zheng Peng, Lin-Lei Chen, Xinjin Meng, Chuyuan Zhang, Jonathan Daniel Ip, Wan-Mui Chan, Allen Wing-Ho Chu, Kwok-Hung Chan, Dong-Yan Jin, Honglin Chen, Kwok-Yung Yuen & Kelvin Kai-Wang To

Published in Emerging Microbes & Infections

“The novel SARS-CoV-2 Omicron variant (B.1.1.529), first found in early November 2021, has sparked considerable global concern and it has >50 mutations, many of which are known to affect transmissibility or cause immune escape. In this study, we sought to investigate the virological characteristics of the Omicron variant and compared it with the Delta variant which has dominated the world since mid-2021.”

Chart image with the text 'Downloads in 2022: 18,591'

6. Antibodies to watch in 2022

Hélène Kaplon, Alicia Chenoweth, Silvia Crescioli & Janice M. Reichert

Published in mAbs

“In this 13th annual installment of the annual ‘Antibodies to Watch’ article series, we discuss key events in commercial antibody therapeutics development that occurred in 2021 and forecast events that might occur in 2022.” 

Chart image with the text 'Downloads in 2022: 18,271'

7. Lessons learned from the fifth wave of COVID-19 in Hong Kong in early 2022 

Pak-Hin Hinson Cheung, Chi-Ping Chan & Dong-Yan Jin

“Before the fifth wave, Hong Kong had managed to remain free of local cases of COVID-19 for almost 100 days, ascribed to the enforcement of moderate non-pharmaceutical interventions (NPIs) and stringent border control measures, just to be balanced with relatively normal economic activities and social lives. […] From 31 December 2021 to 23 March 2022, the ongoing fifth wave of COVID-19 in Hong Kong has claimed 6356 lives.”

Chart image with the text 'Downloads in 2022: 16,705'

8. Omicron variant showed lower neutralizing sensitivity than other SARS-CoV-2 variants to immune sera elicited by vaccines after boost  

Jingwen Ai, Haocheng Zhang, Yi Zhang, Ke Lin, Yanliang Zhang, Jing Wu, Yanming Wan, Yanfang Huang, Jieyu Song, Zhangfan Fu, Hongyu Wang, Jingxin Guo, Ning Jiang, Mingxiang Fan, Yang Zhou, Yuanhan Zhao, Qiran Zhang, Qiang Liu, Jing Lv, Peiyao Li, Chao Qiu & Wenhong Zhang

“In this study, we explored the immunogenicity of COVID-19 breakthrough patients, BBIBP-CorV homologous booster group and BBIBP-CorV/ZF2001 heterologous booster group against SARS-CoV-2 pseudotypes corresponding to the prototype, Beta, Delta, and the emergent Omicron variant.”

Chart image with the text 'Downloads in 2022: 12,298'

9. A Research Ethics Framework for the Clinical Translation of Healthcare Machine Learning  

Melissa D McCradden, James A Anderson, Elizabeth A. Stephenson, Erik Drysdale, Lauren Erdman, Anna Goldenberg & Randi Zlotnik Shaul

Published in The American Journal of Bioethics

“The application of artificial intelligence and machine learning (ML) technologies in healthcare have immense potential to improve the care of patients. While there are some emerging practices surrounding responsible ML as well as regulatory frameworks, the traditional role of research ethics oversight has been relatively unexplored regarding its relevance for clinical ML.”

Chart image with the text 'Downloads in 2022: 12,104'

10. Clinician guidelines for the treatment of psychiatric disorders with nutraceuticals and phytoceuticals: The World Federation of Societies of Biological Psychiatry (WFSBP) and Canadian Network for Mood and Anxiety Treatments (CANMAT) Taskforce 

Jerome Sarris, Arun Ravindran, Lakshmi N. Yatham, Wolfgang Marx, Julia J. Rucklidge, Roger S. McIntyre, Shahin Akhondzadeh, Francesco Benedetti, Constanza Caneo, Holger Cramer, Lachlan Cribb, Michael de Manincor, Olivia Dean, Andrea Camaz Deslandes, Marlene P. Freeman, Bangalore Gangadhar, Brian H. Harvey, Siegfried Kasper, James Lake, Adrian Lopresti, Lin Lu, Najwa-Joelle Metri, David Mischoulon, Chee H. Ng, Daisuke Nishi, Roja Rahimi, Soraya Seedat, Justin Sinclair, Kuan-Pin Su, Zhang-Jin Zhang & Michael Berk

Published in The World Journal of Biological Psychiatry

“The therapeutic use of nutrient-based ‘nutraceuticals’ and plant-based ‘phytoceuticals’ for the treatment of mental disorders is common; however, despite recent research progress, there have not been any updated global clinical guidelines since 2015. To address this, the World Federation of Societies of Biological Psychiatry (WFSBP) and the Canadian Network for Mood and Anxiety Disorders (CANMAT) convened an international taskforce involving 31 leading academics and clinicians from 15 countries, between 2019 and 2021.”

Chart image with the text 'Downloads in 2022: 11,831'

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top research papers 2022

Science & research news | Frontiers

Top 10 Research Topics from 2022

Posted on December 9, 2022 by Frontiers Communications in Research topics , Top News // 0 Comments

top research papers 2022

Find the answers to your biggest research questions from 2022. With collective views of over 3.2 million, researchers explored topics spanning from vaccine safety and psychedelic therapy to quaternary fossils and antiviral plants .

Research Topics:

top research papers 2022

1. Viral diseases

37 articles | 499,000 views

Uncovering the countermeasures, molecular virology, and pathogenesis of emerging and re-emerging viruses

top research papers 2022

2. Exploring sound

23 articles | 442,000 views

Exploring the fascinating world of sound and how it benefits and causes problems to people, other animals, and our environment

top research papers 2022

3. Neurodegenerative diseases

19 articles | 387,000 views

Examining the effect of bioactive compounds, diet, and lifestyle factors on neurodegenerative disease phenotypes

top research papers 2022

4. Psychedelic therapy

22 articles | 346,000 views

Understanding how the social and relational effects of psychedelic use impact therapeutic outcomes

top research papers 2022

5. Circadian rhythms

6 articles | 335,000 views

Demonstrating why time-of-day is an important factor in maximizing the health benefits of exercise and physical activity for disease prevention and treatment

top research papers 2022

6. Covid-19 insights

84 articles | 320,000 views

Focusing on new insights, novel developments, current challenges, latest discoveries, recent advances, and future perspectives in the field of COVID-19

top research papers 2022

7. Vaccine safety

10 articles | 244,000 views

Novel approaches to balance vaccine efficacy and safety by addressing increased pro-inflammatory immune responses and their effects on other biological systems

top research papers 2022

8. Spirituality and healthcare

16 articles | 242,000 views

Evaluating the intersections between spirituality and healthcare in all their manifestations, either secular or religious ones, alongside their consequent clinical implication

top research papers 2022

9. Antiviral plants

16 articles | 208,000 views

Demonstrating the clinical application of plant products in the management of viral infection

top research papers 2022

10. Quaternary fossils

4 articles | 144,000 views

Discovering the geological and paleoecological processes that lead to the formation of Quaternary fossil accumulations and recognizing the impact of taphonomic processes on the paleobiological and paleoecological information contained within these deposits

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